{"id":"W2150427664","doi":"10.1139/er-2013-0059","title":"Methylmercury biogeochemistry: a review with special reference to Arctic aquatic ecosystems","year":2014,"lang":"en","type":"review","venue":"Environmental Reviews","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Alberta Innovates","keywords":"Methylmercury; Bioaccumulation; Biomagnification; Environmental chemistry; Mercury (programming language); Arctic; Biogeochemistry; Aquatic ecosystem; Ecosystem; Environmental science; Marine ecosystem; Food chain; Ecology; Food web; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001311456,0.001116932,0.004018653,0.00007136735,0.0001979342,0.00004770548,0.000792441,0.0002086832,0.008568134],"category_scores_gemma":[0.0002476975,0.0007385181,0.0006241645,0.0005414594,0.0002473024,0.0001491407,0.0004551404,0.0005182687,0.04393438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009229824,"about_ca_system_score_gemma":0.00003298506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005746903,"about_ca_topic_score_gemma":0.00009594499,"domain_scores_codex":[0.9949657,0.0007097246,0.001650609,0.00118319,0.0008106799,0.0006800399],"domain_scores_gemma":[0.9968446,0.0001800477,0.001101976,0.001314217,9.730888e-7,0.0005582017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002841774,0.00006628269,0.00006250656,0.01899726,0.00007865991,0.000008344085,0.00004214086,7.365166e-8,0.000006954899,0.000003031889,0.05102586,0.929706],"study_design_scores_gemma":[0.00009562499,0.0001231987,0.00001021092,0.05349663,0.001283695,0.00009028812,0.00000974901,2.561779e-7,0.000004516961,0.000006641541,0.9440413,0.0008379627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007099321,0.9792324,0.0000328645,0.00007446436,0.0001584748,0.003927682,0.0000657049,0.00003264687,0.01646864],"genre_scores_gemma":[0.00001007924,0.9935881,0.0005454048,0.001003311,0.0004434974,0.00134651,0.0003911887,0.00009490007,0.002576984],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9288681,"threshold_uncertainty_score":0.9995066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04847382845622777,"score_gpt":0.3162338129069204,"score_spread":0.2677599844506926,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}